Adaptive fuzzy decentralized control for a class of large-scale nonlinear systems with MIMO subsystems

H. Yousef*, E. El-Madbouly, D. Eteim, M. Hamdy

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

This paper presents a fuzzy basis function approach for adaptive decentralized control of a class of large-scale nonlinear systems with MEMO subsystems. Hybrid adaptive-robust tracking control schemes which are based on a combination of the IT tracking theory, and fuzzy control design are developed such that all the states and signals are bounded and the H tracking control performance is guaranteed. In addition, each subsystem is able to adaptively compensate for disturbances and interconnections with unknown bounds. The resultant decentralized control with multi-controller architecture guarantee stability and convergence of the output errors to zero asymptotically, by local output-feedback. Simulation results on the control of a model of a nonlinear electrical machine are presented to illustrate the effectiveness of the proposed controller.

Original languageEnglish
Title of host publication2006 International Conference on Computer Engineering and Systems, ICCES'06
Pages25-32
Number of pages8
DOIs
Publication statusPublished - 2006
Event2006 International Conference on Computer Engineering and Systems, ICCES'06 - Cairo, Egypt
Duration: Nov 5 2006Nov 7 2006

Other

Other2006 International Conference on Computer Engineering and Systems, ICCES'06
Country/TerritoryEgypt
CityCairo
Period11/5/0611/7/06

ASJC Scopus subject areas

  • Computer Science Applications

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